What happens, though, when a change is made manually to the deployed software? This is referred to as configuration drift and it represents a major source of technical debt.
Simple dashboard built for viewing pipeline metrics in AWS. Built using CloudWatch dashboards and metrics populated from CloudWatch events that CodePipeline triggers.
mu is an open-source, full-stack DevOps on AWS tool that simplifies and orchestrates your software delivery lifecycle (environments, services, and pipelines).
Enable service discovery for your microservices with mu
Use mu to manage microservice databases in the continuous delivery pipeline
Automation testing is crucial to the success of a continuous delivery pipeline. This post demonstrates the use of mu to add tests to a pipeline.
The mu tool makes it simple and cost-efficient for developers to use AWS as the platform for running their microservices.
Deploying SpringBoot microservices into ECS with CloudFormation
In the second post of this series, we focused on how to get our serverless application running with Lambda, API Gateway and S3. Our application is now able to run on a serverless platform, but we still have not applied the fundamentals of continuous delivery that we talked about in the first part of this … Continue reading Serverless Delivery: Orchestrating the Pipeline (Part 3)
In the first of this three part series on Serverless Delivery, we took a look at the high level architecture of running a continuous delivery pipeline with CodePipeline + Lambda. Our objective is to run the Dromedary application in a serverless environment with a serverless continuous delivery pipeline. Before we can build the pipeline, we … Continue reading Serverless Delivery: Bootstrapping the Pipeline (Part 2)